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701
Enhanced Dung Beetle Optimizer-Optimized KELM for Pile Bearing Capacity Prediction
Published 2025-07-01“…The model utilizes the pile length, pile diameter, average effective vertical stress, and undrained shear strength as input variables, with the bearing capacity serving as the output variable. …”
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702
The Model of Fundamental Chemical Training of Bachelors of Technical and Technological Directions in the Conditions of Blended Learning
Published 2019-07-01“…The concept and the structural-functional model of the fundamental chemical training of bachelors in the information-and-activity-based educational environment of blended learning have been proposed. …”
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703
Family hardiness among primary caregivers of breast cancer patients in Hunan Province: a cross-sectional study exploring the relationship with attachment and caregiver preparedness
Published 2024-11-01“…BackgroundFamily hardiness is a key variable contributing to positive family functioning, which has significant effects on the quality of life and the mental health of patientsand caregivers. …”
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704
Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow
Published 2025-06-01“…For doing so, to select the most effective parameters on MRSF m , the Pearson’s correlation coefficient (PCC) and Cosine amplitude sensitivity (CAS) as features selection process are carried out for potential meteorological variables in the study area (i.e., average monthly temperature (T m ), evaporation (ET m ), and precipitation (P m )) and target (MRSF m ). …”
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705
Feasibility and psychometric quality of smartphone administered cognitive ecological momentary assessments in women with metastatic breast cancer
Published 2025-01-01“…Test-retest reliability was examined using intraclass correlation coefficients (ICCs) for each EMA, and Pearson's correlation were used to evaluate convergent validity between cognitive EMAs and baseline clinical cognitive and psychosocial variables. …”
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706
Improved Deflection Prediction Model for PSC Box Girder with Stay Cable System during Tensioning Phase
Published 2024-01-01“…Uncertainty and sensitivity analysis are conducted for the Dongming Huanghe River Highway Bridge. An objective function is applied to select the optimal combination of random variables, and a modified model is established and verified for accuracy. …”
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707
Modelling Geographically Weighted Truncated Spline Regression Using Maximum Likelihood Estimation for Human Development Disparities
Published 2025-03-01“…Among these, the Bi-Square weighting function performed the best, achieving a coefficient of determination of 99.999%, demonstrating the model’s capability to explain nearly all data variability effectively. …”
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708
The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades
Published 2019-08-01“…The analysis result shows that the blade reliability indexes decrease with the increase of fuzzy coefficient. Compared with the traditional method based on random variables, this method is more reasonable for the description of uncertainty, and the evaluation of reliability is more accurate theoretically.…”
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709
A simple model of the rheological curve of HPAM solutions at different temperatures
Published 2024-12-01“…The solvent viscosity and relaxation time-employed as references to define these parameters-are functions of temperature. On the master surface, while the power coefficient of Carreau-Yasuda (n) exhibits only a slight dependency on temperature, the relative viscosity depends monotonically on this variable. …”
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710
Empirical Study of the Impact of Unemployment on Political Stability in Iran (1985-2015)
Published 2021-06-01“…Vector regression (VAR), Johansson-Juselius, Vector Error Correction Model (VECM), and variance analysis function were used for this purpose. The results show that in the long run, two variables of unemployment rate and Gini coefficient have a negative and significant relationship with political stability. …”
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711
Sensitivity analysis of melting heat transfer in Williamson fluid
Published 2025-09-01“…The model is simplified to ordinary differential equations by introducing similarity variables and tackled by bvp4c Matlab function. The significant variables on flow model are identified by Response Surface Method (RSM). …”
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712
Posterior-only fixation in pelvic fractures: Is it sufficient in lateral compression injuries?
Published 2025-05-01“…Spearman's rank correlation coefficient was used for correlation analysis. Results: A total of 25 patients were included, with a mean age of 29.8 years. …”
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713
An Empirical Analysis of Herding Behavior in the Stock Market: Evidence from Various Economic and Social Conditions in Iran
Published 2025-09-01“…This approach models the response of the dependent variable to the independent variable at various quantiles, denoted as "τ," making it an effective tool for analyzing non-normal distributions. …”
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714
Estimation of Fuzzy Measures Using Covariance Matrices in Gaussian Mixtures
Published 2012-01-01“…The mixture components of GMM provide the membership functions for the input-output fuzzy sets. By treating consequent part as a function of fuzzy measures, we derived its coefficients from the covariance matrices found directly from GMM and the defuzzified output constructed from both the premise and consequent parts of the nonadditive fuzzy rules that takes the form of Choquet integral. …”
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715
Research and development of thick plate shape prediction system based on industrial big data
Published 2021-09-01“…Thick plate shape is one of the important indicators to measure the quality of thick plate products.The timely prediction of the final plate shape in production is of great significance for adjusting the operation and control of thick plate production.In actual industrial production, thick plate data has many characteristics, such as multiple coupling information, large amount of redundant information, and multi-source heterogeneity of data.Combining the needs of thick plate shape prediction, a thick plate shape prediction system was designed and developed.The data dump function was used to filter and preprocess the industrial big data to remove the coupling information and redundant variables in the data.LSTM neural network, convolutional neural network and 3D convolutional neural network were used to extract data features from data of different dimensions, and the features were fused based on the maximum mutual information coefficient to establish an integrated learning prediction model, which effectively solved the modeling difficulties caused by multi-source heterogeneous data.The actual industrial data of a domestic thick plate production line was used for verification, and the results showed the effectiveness of the developed system.…”
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716
On the approximation of sum of lognormal for correlated variates and implementation.
Published 2025-01-01“…In probabilistic modeling across engineering, finance, and telecommunications, sums of lognormal random variables frequently occur, yet no closed-form expression exists for their distribution. …”
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717
Structural network topologies are associated with deep brain stimulation outcomes in Meige syndrome
Published 2024-07-01“…However, the DBS efficacy varies across MS patients and the factors contributing to the variable responses remain enigmatic. We aim to explain the difference in DBS efficacy from a network perspective. …”
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718
Serum Glycated Albumin Levels Are Affected by Alcohol in Men of the Jinuo Ethnic Group in China
Published 2021-01-01“…Lifestyle information was gathered by using a questionnaire, and measurements of blood pressure, body mass index, blood glucose level, liver function, and kidney function were collected. GA was measured by using an enzymatic method. …”
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719
Bifurcations of Spatially Inhomogeneous Solutions of a Boundary Value Problem for the Generalized Kuramoto–Syvashinsky Equation
Published 2017-10-01“…In this paper, a differential partial equation with an unknown function of three variables time and two spatial variables – is considered. …”
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720